TOPIC 2: Linear regression model (I)
|
- Selection on observables.
- Linear regression model: specification.
- Ordinary Least Squares estimation.
- Interpretation of estimates: when do we identify a causal effect? |
TOPIC 4: Linear regression model (III) |
- Obtaining additional information from the parameter estimates: changes of scale of the variables; elasticities; Beta coefficients.
- Non-linearities between the dependent variable and the explanatory variables of the model. |
TOPIC 6: Dummy variables |
- A single independent dummy variable.
- Dummy variables for multiple categories
- Interactions involving dummy variables. |
TOPIC 8: Heteroscedasticity |
- Detection
- Consequences
- Solutions |
TOPIC 10: Endogeneity |
- Causes of endogeneity: omitted variable bias, measurement error in explanatory variables, bidirectional causality.
- Instrumental variables estimation. |